MCP server that provides interactive tools for logging, analyzing, and improving Claude Desktop prompts
Improver mcp mcp server connects Improver MCP to AI assistants that speak the Model Context Protocol. MCP server that provides interactive tools for logging, analyzing, and improving Claude Desktop prompts.
Add this to your ~/Library/Application Support/Claude/claude_desktop_config.json:
The server is distributed via npm as mcp-prompt-collector, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Improver MCP sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"mcp-prompt-collector": {
"command": "mcp-prompt-collector",
"env": {
"HOME": "/Users/daneb"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.